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Predictability of drug expenditures: An application using morbidity data

Mostra el registre parcial de l'element García-Goñi, Manuel Ibern, Pere
dc.contributor.other Universitat Pompeu Fabra. Departament d'Economia i Empresa 2017-07-26T10:50:52Z 2017-07-26T10:50:52Z 2006-09-01
dc.description.abstract The growth of pharmaceutical expenditure and its prediction is a major concern for policy makers and health care managers. This paper explores different predictive models to estimate future drug expenses, using demographic and morbidity individual information from an integrated healthcare delivery organization in Catalonia for years 2002 and 2003. The morbidity information consists of codified health encounters grouped through the Clinical Risk Groups (CRGs). We estimate pharmaceutical costs using several model specifications, and CRGs as risk adjusters, providing an alternative way of obtaining high predictive power comparable to other estimations of drug expenditures in the literature. These results have clear implications for the use of risk adjustment and CRGs in setting the premiums for pharmaceutical benefits.
dc.language.iso eng
dc.relation.ispartofseries Economics and Business Working Papers Series; 977
dc.rights L'accés als continguts d'aquest document queda condicionat a l'acceptació de les condicions d'ús establertes per la següent llicència Creative Commons
dc.title Predictability of drug expenditures: An application using morbidity data
dc.type info:eu-repo/semantics/workingPaper 2017-07-23T02:10:40Z
dc.subject.keyword drug expenditure
dc.subject.keyword risk-adjustment
dc.subject.keyword morbidity
dc.subject.keyword clinical risk groups
dc.subject.keyword Labour, Public, Development and Health Economics
dc.rights.accessRights info:eu-repo/semantics/openAccess

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